Yes. Unpredictable failures are significantly worse than predictable ones. If file messes up, it's because it decided a ZIP-based document was a generic ZIP file. If Magika messes up, it's entirely random. I can work around file's failure modes, especially if it's one I work with often. Magika's failure modes strike at random and are not possible to anticipate. File also bails out when it doesn't know, a very common failure mode in Magika is that it confidently returns a random answer when it wasn't trained on a file type.
Your original statement was that having a couple of failures brings into question its claims about performance. It doesn't because it doesn't claim such high performance. 99.31% is lower than perhaps 997 out of 1000 or whatever the GP tested. Of course having unpredictable failures is a worry but it's a different worry.
They uploaded 3 sample files for the authors, there were more failures than that, and the failures that GP and others have experienced are of a less tolerable nature. This is the point I was making, that the value added by classifying files with no rigid structure is offset heavily by its unpredictable shortcomings and difficult-to-detect failure modes.
If you have a point of your own to make I'd prefer you jump to it. Nitpicking baseless assumptions like how many files the evil GP had to sift through in order to breathlessly bring us 3 bad eggs is not something I find worthwhile.
The point I'm making is that you drew a conclusion based on insufficient information, apparently by making assumptions about the distribution of failures or the definition of "easy".
